Andeweg Stijn P, van de Kassteele Jan, Wang Xiaorui, van Maarseveen Noortje, Vlaemynck Boris, Bos Sanne, Vennema Harry, Presser Lance, Cai Juan Juan, Knol Mirjam J, Eggink Dirk
Center for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
Vrije Universiteit Amsterdam (VU), Amsterdam, The Netherlands.
Int J Infect Dis. 2025 Apr;153:107362. doi: 10.1016/j.ijid.2024.107362. Epub 2024 Dec 9.
SARS-CoV-2 viral load could be an important parameter for transmission potential. Here, we use quantitative reverse transcription-polymerase chain reaction cycle threshold (Ct) values as a proxy for viral load. We assess the effect of COVID-19 vaccination and prior infection status on Ct value while accounting for the virus variant.
Using Dutch SARS-CoV-2 community testing data (n = 409,925 samples) from 8 March 2021 to 31 December 2022, separate univariable linear regressions were conducted for each explanatory variable, including age, sex, testing date, variant of infection, time since symptom onset, and testing laboratory. Subsequently, causal inference analysis assessed the impact of prior infection and vaccination status on Ct values, employing inverse propensity score weighting to adjust for confounders.
Our findings revealed a negative correlation between age and Ct values. Additionally, we observed modest differences in Ct values between different variants of infection, with lower Ct values (indicative of higher viral load) noted for Omicron variants compared to earlier variants. In addition, our results indicated an increase in Ct value (lower viral load) with prior infection. Conversely, the impact of vaccination was less pronounced.
We observed an association between prior infection status and higher Ct values, suggesting a decrease in viral load, which could possibly indicate lower transmissibility.
严重急性呼吸综合征冠状病毒2(SARS-CoV-2)病毒载量可能是传播潜力的一个重要参数。在此,我们使用定量逆转录-聚合酶链反应循环阈值(Ct)值作为病毒载量的替代指标。我们评估了2019冠状病毒病(COVID-19)疫苗接种和既往感染状况对Ct值的影响,同时考虑病毒变体。
利用2021年3月8日至2022年12月31日荷兰SARS-CoV-2社区检测数据(n = 409,925个样本),对每个解释变量进行单独的单变量线性回归,包括年龄、性别、检测日期、感染变体、症状出现后的时间以及检测实验室。随后,因果推断分析评估既往感染和疫苗接种状况对Ct值的影响,采用逆倾向评分加权法调整混杂因素。
我们的研究结果显示年龄与Ct值之间存在负相关。此外,我们观察到不同感染变体之间Ct值存在适度差异,与早期变体相比,奥密克戎变体的Ct值较低(表明病毒载量较高)。此外,我们的结果表明既往感染会使Ct值升高(病毒载量降低)。相反,疫苗接种的影响不太明显。
我们观察到既往感染状况与较高的Ct值之间存在关联,这表明病毒载量降低,这可能意味着传播性较低。